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“This investment will help us accelerate our engineering and go-to-market efforts to bring a new type of machine learning to the edge,” stated David Schie, CEO of
AI Storm. “AI Storm’s approach allows implementation of edge solutions in lower-cost analog technologies. The result is a cost savings without compromise in performance.”

The
approach of the Silicon Valley-based company is to process sensor data in real time before information is sent to the cloud, a process believed to be necessary for the advancement of automobile driver
assistant systems.

The technology is also expected to be used in the next generation of mobile handsets, IoT devices and wearables.